Chad Sanderson

Modern enterprises can’t manage data they don’t understand – uncovering the code-to-data relationship is the missing link. As data ecosystems grow more complex, traditional approaches to tracking data lineage can’t keep up. This talk explores how AI-driven code analysis can automatically build end-to-end lineage graphs, giving engineers clear visibility into hidden dependencies across large, legacy, and regulated systems. We’ll show how AI enhances data catalogues and introduce Gable - a tool that helps teams map, validate, and monitor data flows at scale. A live demo on a large energy data codebase will highlight how AI transforms lineage tracking from a manual headache into an automated, scalable solution.

In this session, we'll dive into the world of data contracts - API-based agreements between data producers and consumers that capture the schema, semantics, distribution, and enforcement policies of the data.

In this session, we'll dive into the world of data contracts - API-based agreements between data producers and consumers that capture the schema, semantics, distribution, and enforcement policies of the data.

In this session, we'll dive into the world of data contracts - API-based agreements between data producers and consumers that capture the schema, semantics, distribution, and enforcement policies of the data.

Data Contracts are a mechanism for driving accountability and data ownership between producers and consumers. Contracts are used to ensure production-grade data pipelines are treated as part of the product and have clear SLAs and ownership.